Surface Roughness Error Assessment
Surface Roughness Error Assessment is a methodological framework in elevation data quality control that quantifies deviations in fine-scale topographic variability by evaluating inconsistencies between observed surface roughness and reference or expected roughness patterns derived from high-resolution terrain models.
10
Publications
269
Citations
34
Authors
22
Institutions
Publications per year
2017–2026
0
10
Using the power spectral density method to characterise the surface topography of optical surfaces
Simon G. Alcock, Geoff D. Ludbrook, Tommy Owen et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2010 · 29 citations
Natural Sciences, Astronomy, Physics +17
1–5 of 10
34
1
h-index
1
h-index
1
h-index
1
h-index
National Centre for Product Design and Development Research, United Kingdom
1 publications · 19 citations
1
h-index
1–5 of 34
22

Diamond Light Source
Didcot, United Kingdom
1 h-index
2 publications
58 citations

Harbin Institute of Technology
Harbin, China
1 h-index
4 publications
96 citations

University of Twente
Enschede, The Netherlands
1 h-index
2 publications
68 citations

Universidad Pública de Navarra (UPNA)
Pamplona, Spain
1 h-index
5 publications
80 citations
Zygo (United States)
Middlefield, United States
1 h-index
1 publications
33 citations
Earth and Space Research
Seattle, United States
1 h-index
2 publications
28 citations
Électricité de France (France)
Paris, France
1 h-index
3 publications
114 citations
Natural Environment Research Council
Swindon, United Kingdom
1 h-index
3 publications
156 citations
1–8 of 22
2 publications · 39 citations
2
h-index
1 publications · 33 citations
1
h-index
1 publications · 52 citations
1
h-index
1 publications · 19 citations
1
h-index
1 publications · 38 citations
1
h-index
1–5